Does this skill support Test-Driven Development?

Yes, it enforces the Red-Green-Refactor cycle, providing specific patterns to write failing tests before implementing minimal code solutions.

Does it support shared test resources?

Yes, it includes instructions for using conftest.py to share fixtures across multiple modules and managing fixture scopes from function to session level.

Can I use this for testing asynchronous Python functions?

Absolutely. It includes dedicated patterns for pytest-asyncio, including async fixtures and awaiting mocked responses.

What are the recommended code coverage standards?

The skill targets a minimum of 80% overall code coverage, with a strict requirement of 100% coverage for all critical application paths.

How does it handle external dependencies like APIs?

It provides comprehensive mocking and patching examples using unittest.mock, allowing you to simulate API returns, exceptions, and side effects.

Python Testing Strategy

Name: Python Testing Strategy
Author: Infopibe

byInfopibe

•

安全与测试

Implements comprehensive Python testing workflows using pytest, TDD methodologies, and advanced mocking patterns.

This skill equips Claude with a standardized framework for Python application testing, centered around the pytest ecosystem and Test-Driven Development (TDD). It provides domain-specific guidance on managing complex test fixtures, implementing parameterization, and handling asynchronous code. By integrating best practices for mocking external dependencies and monitoring coverage requirements, it helps developers build maintainable, high-quality codebases with verified key paths and robust error handling.

主要功能

01Advanced pytest fixture management and scoping

02Comprehensive mocking and patching strategies for external APIs

03Asynchronous testing support with pytest-asyncio

041 GitHub stars

05Standardized coverage reporting and verification

06Test-Driven Development (TDD) cycle implementation

使用场景

01Establishing a TDD workflow for new Python feature development

02Mocking complex database or third-party service interactions during unit testing

03Building robust test suites for asynchronous API backends

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code python-testing

For use in Claude.ai and ChatGPT

主要功能

01Advanced pytest fixture management and scoping

02Comprehensive mocking and patching strategies for external APIs

03Asynchronous testing support with pytest-asyncio

041 GitHub stars

05Standardized coverage reporting and verification

06Test-Driven Development (TDD) cycle implementation

使用场景

01Establishing a TDD workflow for new Python feature development

02Mocking complex database or third-party service interactions during unit testing

03Building robust test suites for asynchronous API backends

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code python-testing

For use in Claude.ai and ChatGPT